wxGUI.iclass(1grass)

💖 wxGUI Supervised Classification Tool 💖

okay bestie, welcome to wxGUI.iclass, aka the Supervised Classification Tool, aka wxIClass 🌈 — and yes she's a wxGUI component, she's part of the family, she's iconic. What she DOES is let you create training areas and generate spectral signatures. And those signature files? They can go on to be input for i.maxlik, or they can be a seed signature file for i.cluster. Two career paths, one queen 👑.

You can launch her from the Layer Manager menu under Imagery → Classify image → Interactive input for supervised classification, or honestly just hit up the command line like g.gui.iclass. Whatever vibe you're on 💅.

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✨ KEYWORDS ✨

display, GUI, imagery, classification, supervised classification

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🦋 DESCRIPTION 🦋

So wxIClass is a wxGUI component that lets you create training areas and generate spectral signatures, and the resulting signature file can be used as input for i.maxlik or as a seed signature file for i.cluster. She can be launched from the Layer Manager menu at Imagery → Classify image → Interactive input for supervised classification, or via command line as g.gui.iclass. Periodt 💅.

Right now, wxIClass lets you do all of this:

• create training areas (using a customized vector digitizer) ✏️
• show histograms for each band and class (category) 📊
• show coincidence plots for each band
• show raster cells that match training areas (within the number of standard deviations specified)
• specify color of class 🎨
• write signature file
• import vector map
• export vector map with attribute table

Okay so here's the lore 🫶: wxIClass performs the first pass in the GRASS two-pass supervised image classification process, and then the GRASS module i.maxlik executes the second pass. Both programs must be run to generate a classified map in GRASS raster format. No skipping steps, bestie, that's a two-parter 😭.

wxIClass is an interactive program that lets you create multiple training areas for multiple classes and calculate the spectral signatures based on the cells that are within the training areas. During this process you'll be shown histograms for each image band 📊✨. You can also display the cells of the image bands which fall within a user-specified number of standard deviations from the means in the spectral signature. And by doing that, you get to see how much of the image is likely to be put into the class associated with the signature. It's giving foresight, it's giving main character energy 🔥.

wxIClass can also import training areas defined in a vector layer 👀. In that case the program expects the vector layer to have the following columns defined:

• cat: category value
• class: a string with the class name
• color: a color defined using format "RRR:GGG:BBB"

The spectral signatures are composed of region means and covariance matrices. These region means and covariance matrices are used in the second pass (i.maxlik) to classify the image. So important, so science, we love to see it ⭐.

Alternatively — because she contains multitudes 🧚 — the spectral signatures generated by wxIClass can be used for seed means for the clusters in i.cluster.

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🌸 SEE ALSO 🌸

wxGUI, wxGUI components, Interactive Scatter Plot Tool

See also the user wiki page and development page.

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💜 AUTHORS 💜

Anna Kratochvilova, Czech Technical University in Prague, Czech Republic

Vaclav Petras, Czech Technical University in Prague, Czech Republic

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🎀 SOURCE CODE 🎀

Available at: wxGUI Supervised Classification Tool source code (history)

Accessed: Tuesday Sep 08 11:56:22 2026

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and that's the whole page, no cap 💖 ok so the cute lil sign-off they put at the very bottom of the manual — the copyright and version and all that — is: © 2003-2026 GRASS Development Team, GRASS 8.5.0 Reference Manual, and over on the footer side it's GRASS 8.5.0 with wxGUI.iclass(1grass), dated Tuesday Sep 08 11:56:22 2026. go slay your classification, bestie 🦋💅✨